6 citations · 17 across the 11 of their papers we have counts for
5 papers · 1 filter
Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs
Sarah H. Q. Li, Lillian Ratliff, Behçet Açıkmeşe
Motivated by applications of multi-agent learning in noisy environments, this paper studies the robustness of gradient-based learning dynamics with respect to disturbances. While d…
Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games
Sarah H. Q. Li, Assalé, Adjé +2
Motivated by uncertain parameters encountered in Markov decision processes (MDPs) and stochastic games, we study the effect of parameter uncertainty on Bellman operator-based algor…
Sensitivity Analysis for Markov Decision Process Congestion Games
Sarah H. Q. Li, Daniel Calderone, Lillian Ratliff +1
We consider a non-atomic congestion game where each decision maker performs selfish optimization over states of a common MDP. The decision makers optimize for their own expected co…
Adaptive Constraint Satisfaction for Markov Decision Process Congestion Games: Application to Transportation Networks
Sarah H. Q. Li, Yue Yu, Nicolas Miguel +3
Under the Markov decision process (MDP) congestion game framework, we study the problem of enforcing population distribution constraints on a population of players with stochastic…
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games
Sarah H. Q. Li, Yue Yu, Daniel Calderone +2
Markov decision process (MDP) congestion game is an extension of classic congestion games, where a continuous population of selfish agents solves Markov decision processes with con…